Twitter Sentiment Analysis Data

Twitter Sentiment Analysis Data

Citation Author(s):
Rabindra
Lamsal
School of Computer and Systems Sciences, JNU
Submitted by:
Rabindra Lamsal
Last updated:
Fri, 06/12/2020 - 01:04
DOI:
10.21227/t4mp-ce93
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Abstract: 

This dataset page is currently being updated. The tweets collected by the model deployed at https://live.rlamsal.com.np/ are shared here. However, because of COVID-19, all computing resources I have are being used for a dedicated collection of the tweets related to the pandemic. You can go through the following datasets to access those tweets:

 

Instructions: 

The dataset contains lists of tweet IDs. To hydrate the tweet IDs, you can use applications such as Hydrator (available for OS X, Windows and Linux; takes in CSV) or twarc (python library; takes in TXT) or QCRI's Tweets Downloader (java based; takes in TXT). Please go through the documentation of the respective tools to know the downloading process.

Comments

Downloading dataset 

Submitted by Ananth Vishnu B... on Tue, 12/10/2019 - 18:35

You're very much welcome.

Submitted by Rabindra Lamsal on Sat, 03/28/2020 - 13:54

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[1] Rabindra Lamsal, "Twitter Sentiment Analysis Data", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/t4mp-ce93. Accessed: Jul. 05, 2020.
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doi = {10.21227/t4mp-ce93},
url = {http://dx.doi.org/10.21227/t4mp-ce93},
author = {Rabindra Lamsal },
publisher = {IEEE Dataport},
title = {Twitter Sentiment Analysis Data},
year = {2019} }
TY - DATA
T1 - Twitter Sentiment Analysis Data
AU - Rabindra Lamsal
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PB - IEEE Dataport
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Rabindra Lamsal. (2019). Twitter Sentiment Analysis Data. IEEE Dataport. http://dx.doi.org/10.21227/t4mp-ce93
Rabindra Lamsal, 2019. Twitter Sentiment Analysis Data. Available at: http://dx.doi.org/10.21227/t4mp-ce93.
Rabindra Lamsal. (2019). "Twitter Sentiment Analysis Data." Web.
1. Rabindra Lamsal. Twitter Sentiment Analysis Data [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/t4mp-ce93
Rabindra Lamsal. "Twitter Sentiment Analysis Data." doi: 10.21227/t4mp-ce93